Triple
T12622329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Bayh |
E301413
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object | Dan Coats |
E995938
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dan Coats | Statement: [Evan Bayh, succeededBy, Dan Coats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Coats Context triple: [Evan Bayh, succeededBy, Dan Coats]
-
A.
Dan Coats
chosen
Dan Coats is an American politician and diplomat who served as a U.S. Senator from Indiana and later as Director of National Intelligence.
-
B.
Mitch Daniels
Mitch Daniels is an American politician and academic leader who served as the 49th governor of Indiana and later as president of Purdue University.
-
C.
Wendell H. Ford
Wendell H. Ford was a Democratic politician from Kentucky who served as both governor of the state and a long-serving U.S. senator.
-
D.
Tom McAuliffe
Tom McAuliffe is a notable individual recognized as a prominent bearer of the McAuliffe surname.
-
E.
Evan Bayh
Evan Bayh is a centrist Democratic politician and former U.S. senator from Indiana known for his moderate, pro-business positions within the party.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c8671881909a102d28b0e7f603 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719676d48190bcc9d7ccbde2605e |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:14 p.m.